Improved Use of Research Evidence
Sauer-Zavala, S., Southward, M. W., Hood, C. O., Elhusseini, S., Fruhbauerova, M., Stumpp, N. E., & Semcho, S. A. (2023). Conceptual Development and Case Data for a Modular, Personality-Based Treatment for Borderline Personality Disorder. Personality Disorders, 14(4), 369–380. https://doi.org/10.1037/per0000520
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,Alexandra Hines, M.S. (she/her/hers)
Graduate Researcher
University of Kentucky
Lexington, Kentucky, United States
Shannon Sauer-Zavala, Ph.D. (she/her/hers)
Assistant Professor
University of Kentucky
Lexington, Kentucky, United States
Nicole Stumpp, M.S. (she/her/hers)
Graduate Student Researcher
University of Kentucky
Lexington, Kentucky, United States
Douglas Samuel, Ph.D. (he/him/his)
Purdue University
West Lafayette, Indiana, United States
Katherine Hein, M.S. (she/her/hers)
Graduate Student
Oklahoma State University
Stillwater, Oklahoma, United States
Alexandra Hines, M.S. (she/her/hers)
Graduate Researcher
University of Kentucky
Lexington, Kentucky, United States
Anton Mays, M.A. (he/him/his)
Xavier University
COVINGTON, Kentucky, United States
Dimensional models of psychopathology have the potential to make cognitive-behavioral therapy more potent, parsimonious, and personalized. Dimensional classification systems such as the Hierarchical Taxonomy of Psychopathology (HiTOP) and DSM-5’s Alternative Model of Personality Disorders (AMPD) point to a limited number of higher-order vulnerabilities that can serve as transdiagnostic treatment targets, leading to more efficient symptom improvement across a range of conditions.
Arguments against the transition from categorical (e.g., yes/no diagnoses of the traditional DSM system) to dimensional models of personality and psychopathology often mention a perceived lack of clinical utility of dimensional models. However, studies have shown that clinicians and patients alike benefit from a dimensional conceptualization of psychopathology. For example, patients receiving a novel, personalizable treatment for borderline personality disorder that targets the BPD-relevant domains of the AMPD (i.e., neuroticism, antagonism, disinhibition) report high satisfaction with the treatment. Patients also indicated that the treatment was validating of their identities (Stumpp et al., submitted); thus, treatments based on dimensional models promote diversity in CBT treatment at least as well as those based on categorical models. Similarly, Samuel (submitted) found that clients described case conceptualizations based on dimensional models as reflective of their uniqueness as individuals.
In addition to patient benefit, clinicians may also benefit from a shift to dimensional models of psychopathology. Clinicians from a variety of theoretical orientations have indicated their preference for dimensional models over categorical models in terms of usefulness for clinical decision making (for example, see Lowe & Widiger, 2009; Samuel, submitted). Furthermore, healthcare providers perceive HiTOP (i.e., dimensional) labels as less stigmatizing than DSM-5 (i.e., categorical) labels (Hein et al., submitted).
Although there are clearly benefits to transitioning to dimensional models of psychopathology, the shift is not without its limitations. For example, the AMPD currently assesses self- and other-impairment (e.g., identity problems) and personality trait elevations as separate criteria. To reduce complexity, identity problems may be better conceptualized as a facet of negative affectivity (Hines et al., submitted). Additionally, the field’s reliance on self-reports limits the validity of assessments from either the categorical or dimensional perspective. However, advancements in artificial intelligence could allow clinicians to assess dimensional markers of personality based on the language patients use during clinical interviews (Mays & Oltmanns, submitted).
Thus, despite areas of further research and improvement, dimensional models of personality and psychopathology often demonstrate incremental clinical utility over their categorical counterparts. Innovations in case conceptualization, assessment, and treatment have the potential to ease clinician burden and improve patient care.
Speaker: Nicole Stumpp, M.S. (she/her/hers) – University of Kentucky
Co-author: Martina Fruhbauerova, M.S. – University of Kentucky
Co-author: Shannon Sauer-Zavala, Ph.D. (she/her/hers) – University of Kentucky
Speaker: Douglas B. Samuel, Ph.D. (he/him/his) – Purdue University
Speaker: Katherine E. Hein, M.S. (she/her/hers) – Oklahoma State University
Co-author: Shakur J. Dennis, B.A. – Oklahoma State University
Co-author: Logan Folger, M.S. – Oklahoma State University
Co-author: Stephanie Mullins-Sweatt, Ph.D. (she/her/hers) – Oklahoma State University
Speaker: Alexandra Hines, M.S. (she/her/hers) – University of Kentucky
Co-author: Caden Maynard, B.A. – University of Kentucky
Co-author: Sarah E. Cecil, B.A. – University of Kentucky
Co-author: Ragan Welch, Undergraduate Student – Georgetown College
Co-author: Kaitlyn Cooper, B.A. – University of Kentucky
Co-author: Caitlynne Hill, B.A. – University of Kentucky
Co-author: Madelyn Gatewood, Undergraduate Student – University of Kentucky
Co-author: Ryleigh Bright, Undergraduate Student – University of Kentucky
Co-author: Chloe Goodman, B.A. – University of Kentucky
Co-author: Matthew W. Southward, Ph.D. (he/him/his) – University of Kentucky
Co-author: Joshua Oltmanns, Ph.D. – Southern Methodist University
Co-author: Thomas Widiger, Ph.D. – University of Kentucky
Speaker: Anton A. Mays, M.A. (he/him/his) – Xavier University
Co-author: Joshua Oltmanns, Ph.D. – Southern Methodist University